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The impact of informal contacts
on communication efficiency
in hierarchical organizations
Modeling small-worldliness in a hierarchical
network
Master thesis defense
Remko Arts
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Modeling small-worldliness in a hierarchical
network
“Lekenpraatje”
Master thesis defense
Remko Arts
How do informal contacts impact the
communication efficiency of a hierarchical
organizational communication structure?
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Informal contacts
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Informal contacts
Communication efficiency
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
What is a
hierarchical organization?
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Team
clustering
Information quality
Team specialization
Availability
Hierarchical organizations
Informal contacts
Communication efficiency
Team members
are
clustered
Hierarchical organizations
Informal contacts
Communication efficiency
What are
informal contacts?
Hierarchical organizations
Informal contacts
Communication efficiency
ARE ABOUT :
COFFEE
Hierarchical organizations
Informal contacts
Impact on communication
Hierarchical organizations
Informal contacts
Communication efficiency
Hierarchical organizations
Informal contacts
Communication efficiency
Network reach
Hierarchical organizations
Informal contacts
Communication efficiency
What is
Communication efficiency?
Hierarchical organizations
Informal contacts
Communication efficiency
Something we
Measure
Hierarchical organizations
Informal contacts
Communication efficiency
Team
Clustering
Network
reach
3 Components:
Hierarchy
Informal
contacts
Efficiency
Team
Clustering
Network
reach
Modeling
But
Previously: empirical
Modeling
Modeling
But
Exactly?
Scientific papers
+/- 40 scientific
Aral, S., Brynjolfsson, E., & Van Alstyne, M. (2007). Productivity effects of information diffusion in network. Preliminary draft version, MIT Sloan School of Management.
Barabási, A.-L. (1999). Diameter of the world-wide web. Nature, 401, 130-131.
Bian, Y. (1997). Bringing strong ties back in: Indirect ties, network bridges, and job searches in China. American Sociological Review, 62(3), 366-385.
Brzozowski, M. (2011). Who should I follow?: Recommending people in directed social networks. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Retrieved November 20, 2011 from
http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2867
Burt, R. (1992). Structural holes: The social structure of competition. Cambridge, MA, Harvard University Press.
Collins, R. (1998). The sociology of philosophies: A précis. Management Communication Quarterly, 19, 653-660.
Cormen, T., Leiserson, C., Rivest, R., & Stein, C., (2001). Introduction to Algorithms. (2nd ed.). Cambridge, MA, MIT Press and McGraw-Hill. pp. 595-601.
Davis, W. & O’Connor, R. (1976). Serial transmission of information: A study of the grapevine. Journal of Applied Communication Research, 5, 61-72.
Dörner, C., Pipek, V., & Won, M. (2007). Supporting expertise awareness: Finding out what others know. Proceedings of the 2007 symposium on Computer human interaction for the management of information technology. ACM New York, NY, USA.
DiFonzo, N., & Bordia, P. (2007). Rumor psychology: Social & organizational approaches. Washington, DC, American Psychological Association.
Dijkstra, E. (1959). A note on two problems in connexion with graphs. Numerische Mathematik 1, 269-271.
Edmonds, B. (2001). Complexity and Scientific Modelling. Foundations of Science. 5(3), 379-390.
Erdős, P., Rényi, A. (1959). On random graphs. I. Publicationes Mathematicae, 6, 290-297.
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999). On the power-law relationships of the internet topology. Computer Communications Review, 29, 251-262.
Fell, D., & Wagner, A. (2001). The small world of metabolism. Nature, 18, 1121-1122.
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 6, 1360-1380.
Granovetter, M. (1983) The strength of weak ties: A network theory revisited. Sociological Theory. 1, 201–233.
Hansen, M. (1999). The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44(1), 82-111.
Holland, P., & Leinhardt, S. (1971). Transitivity in structural models of small groups. Comparative Group Studies, 2, 107-124.
Jeong, H., Tombor, B., Albert, R., Oltvai, Z., & Barabási, A.-L. (2000). The large-scale organization of metabolic networks. Nature, 407, 651-654.
Holland, P.W. & Leinhardt, S. (1971). Transitivity in structural models of small groups. Comparative Group Studies, 2, 107-124.
Jalili, M. (2011).Synchronizability of dynamical scale-free networks subject to random errors. Physica A, 390, 4588-4595.
John, A. & Seligmann, D. (2006). Collaborative tagging and expertise in the enterprise. Edinburgh, UK: Unpublished. Retrieved November 20, 2011 from http://wwwiti.cs.unimagdeburg.de/iti_db/lehre/Seminar%20Virtual%20Engineering/Paper/folksonomy2.pdf
Krackhardt, D., (1992). The strength of strong ties: The importance of philos in organizations. In N. Nohria & R. Eccles (Eds.), Networks and Organizations, 216-239. Boston, M, Harvard Business School Press.
Krackhardt D., & Hanson, R. (1993). Informal Networks: The company behind the chart. Harvard Business Review. 71(4), 104-111.
McMillan, E. (2002). Considering organisation structure and design from a complexity paradigm perspective. In G. Frizzelle & H. Richards, (Eds.) Tackling industrial complexity: The ideas that make a difference. Institute of Manufacturing, University
of Cambridge.
Milgram, S. (1967). The small-world problem. Psychology Today, 1(1), 61‐67.
Mintzberg, H. (1980). Structure in 5s: A synthesis of the research on organization design. Management Science. 26(3), 322-341.
Mintzberg, H. (1983). Structures in fives: Designing effective organizations. Upper Saddle River, NJ, Prentice Hall.
Newman, M., Barabási, A.-L., & Watts, D., (2006). The structure and dynamics of networks. Princeton, NJ, Princeton University Press.
Pool, I., & Kochen, M. (1978). Contacts and influence. Social Networks, 1(79), 5-51.
Rapoport, A. & Horvath, W. (1961). A study of a large sociogram. Behavioral Science, 6, 279-291.
Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 240-267.
Uzzi, B., & Spiro, J. (2005). Collaboration and creativity: The small world problem. American Journal of Sociology, 111(2), 447-504.
Walsh, T. (1999). Search in a small world. In Dean, T. (Ed.), Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (pp. 1172-1177). San Francisco, CA, Morgan Kaufman Publishers Inc.
Watts, D. (1999). Networks, dynamics, and the small-world. American Journal of Sociology, 105(2), 493-527.
Watts, D. & Strogatz, S., (1998). Collective dynamics of small-world networks. Nature, 393, 440-442.
Wilensky, U. (1999). NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. Retrieved Nov 20, 2010 from: http://ccl.northwestern.edu/netlogo/
Wilensky, U. (2005). NetLogo Small Worlds model. Retrieved Nov 20, 2010 from: http://ccl.northwestern.edu/netlogo/models/SmallWorlds. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
Wu, L., Waber, B., Aral, S., Brynjolfsson, E., & Pentland, A. (2008). Mining face-to-face interaction networks using sociometric badges: Predicting productivity in an IT configuration task. Draft. Retrieved on September 20, 2012 from:
http://ssrn.com/abstract=1130251
papers
Watts & Strogatz
(1998)
Watts, D. & Strogatz, S., (1998). Collective dynamics of small-world networks.
Nature, 393, 440-442.
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Modeling small-worldliness in a hierarchical
network
Master thesis defense
Remko Arts
Watts & Strogatz
(1998)
X
Watts & Strogatz
Clustering
coefficient
Team
Clustering
(1998)
Characteristic
path length
Network
reach
Clustering and Ch. Path Length
High Clustering
coefficient
Short Characteristic
path length
C/L
𝑪(𝒑) =
𝒗
(𝒌𝒗 ∙ (𝒌𝒗 − 𝟏)) 𝟐
𝒆
Watts & Strogatz
(1998)
Small-worldliness
Small-worldliness
SW = C / L
Watts & Strogatz vs Remko
Watts & Strogatz
Regular network (ring)
Randomness
Efficiency
High Clustering
+
Short characteristic
path length
=
High small-worldliness
Remko
Hierarchical network
Informal contacts
Communication efficiency
Tight teams
+
Great network
reach
=
Efficient communication
Research question #1
How should
the effect of informal contacts
on communication efficiency
in hierarchical organizations
be modeled?
NetLogo
(Wilensky, 1999)
+/- 15 pages
of code
Exp. #1: Watts & Strogatz
NetLogo Watts & Strogatz rep.
SW peak
Research question #2
Does the efficiency of organizational
communication networks change when
informal connections are formed?
NetLogo hierarchy
Exp. #2: Hierarchy
Exp. #2: Hierarchy
No SW peak
Research question #3
Do informal connections affect different
organizational communication structures
equally?
Exp. #3: Hierarchy depth
(Exp. # 4 in thesis)
Shallow: 2 layers
Deep: 8 layers
Exp. #3: Hierarchy depth
(Exp. # 4 in thesis)
Shallow: 2 layers
Deep: 8 layers
SW
No SW
Conclusions
What have we
Learned?
Thesis
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Hierarchical organizations
Informal contacts
Communication efficiency
Problem statement
How do informal contacts impact the
communication efficiency of a hierarchical
organizational communication structure?
Conclusions
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Hierarchical organizations
Informal contacts
Communication efficiency
Conclusions
Informal contacts
Increase network reach
Decrease team clustering
Conclusions
Small organizations
Suffer more from the decreased
team clustering
… efficiency decreases
Conclusions
Large organizations
Benefit more from the decreased
network reach
… efficiency increases
Limitations
Thanks
The impact of informal contacts
on communication efficiency
in hierarchical organizations
Master thesis defense
Remko Arts
Let’s get informal.
Thesis and presentation available from:
: remkoarts http://remkoarts.nl/archive/
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